Good things come in 3s! Gartner released its 2020 Magic Quadrant for Distributed File Systems and Object Storage today, and we are proud to announce Qumulo’s position as a Leader for the third year in a row.

We believe this achievement reflects the value of our unique software-defined, cloud-native unstructured file architecture coupled with an unwavering commitment to deliver a customer success experience that delights our users.

We want to thank our customers for relying on Qumulo to help them manage more than a billion files.

Customers like Ellie Mae, FuseFX, Hyundai MOBIS, San Diego Supercomputer Center, Sinclair Oil, University of Florida and so many more chose Qumulo to help them massively simplify the process for storing, managing, and building with unstructured file data.

Among the 15 vendors that Gartner evaluated in this year’s Magic Quadrant, Qumulo was positioned in the Leaders quadrant for the last three years because of our:

  • Unique ability to enable our customers to flexibly and simply access their unstructured file data on-prem and in the cloud.
  • Enterprise-ready, cloud-native solution that ensures data accessibility.
  • Real-time visibility into petabytes of unstructured file data as well as throughput, IOPS and latency.
  • High-performance file system that provides insight into unstructured file data at scale.
  • Ability to help our customers easily and quickly scale to petabytes of unstructured data without a corresponding increase in headcount.
  • Unique customer success model that enables real-time conversations with experts over Slack.

All about customer delight

Qumulo was founded on the premise that great technology is not enough to make a customer successful. We believe that technology must be supported by a team dedicated to make the lives of our users easier as they tackle increasingly complex data challenges.

Qumulo has experienced rapid, double-digit growth over the past year, far exceeding the compound annual growth rate (CAGR) of the file storage market. This growth has been largely fueled by customers adopting Qumulo for a single project and then rapidly adding additional applications and workloads to the Qumulo file data platform as they are successful and satisfied with their initial deployment.

Gartner Peer Insights Review Highlighting the Customer Delight Experience

Our customer satisfaction is proven. In August of 2020, Qumulo earned a Net Promoter Score (NPS) of 89, which is more than triple the average score of 21 for technology vendors.

“I can’t say enough about how flexible and available Qumulo staff have been. If I post a question in my customer Slack channel, I’ve got an answer almost always within minutes. I’ve actually never even called the Qumulo phone number. I just use the Slack channel because you guys are so responsive. That’s been amazing.”

– Todd Richert, Director of Infrastructure, Ellie Mae

How Qumulo helps with complex data challenges

The creation of unstructured data has accelerated rapidly with the advent of all types of sensors scattered everywhere (around our homes, offices, cars, and workplaces), incredibly powerful processors in massive supercomputers, personal devices and professional cameras creating high resolution video, and software that can analyze and produce results faster than the 7.7 billion people in the world could ever have done manually.

Yet, the technology for capturing, retaining, and leveraging that data has been incrementally evolving, making the dependency on legacy storage and data management software an obstacle in innovation.

Add to this complexity that the workforce needing access to this data is now dispersed in many locations, and, the challenges of storing, accessing and leveraging unstructured data have become nearly insurmountable.

Qumulo took a new approach. We built the file data platform to consolidate and then make your data available to applications and users, wherever they reside. This enables you to mobilize your people and your data, to work together, no matter where they each reside.

For example, Cinesite Studios turned to Qumulo to leap over technical barriers in its creative workflows, and deliver exceptional imagery for blockbuster motion pictures faster than the studio ever thought possible.

With Qumulo and Amazon Web Services (AWS), Cinesite’s animation and VFX pipelines leveraged Qumulo’s hybrid file data services in order to deliver compelling images Cinesite was able to render 16K video at scale on Qumulo’s file system running on AWS with industry-leading levels of speed and agility.

“Qumulo has enabled us to boost Cinesite’s competitive position within the industry.”

— Graham Peddie, Chief Operating Officer, Cinesite Montreal

Simplicity that lowers operational costs

Unstructured data accounts for nearly 90% of most enterprise data and is growing faster than any other type of data. This data has become spread across a wide range of user devices, from the edge to the data center and across clouds.

Qumulo sets a new standard for ease-of-use. It takes less than ten minutes to set up a new cluster, our simple user interface provides real-time operational analytics (ITOps) to help manage complex environments with fewer full time employees (FTEs), and our advanced API enables automation of manual tasks and integration with applications.

Gartner Peer Insights Review Highlighting the Simplicity Qumulo Brings to the Data Management Experience

Freedom with unparalleled choice and flexibility

Qumulo provides a software-defined solution designed to be operated at the edge, in the data center, and natively on the public cloud infrastructure in any geographic region. With a platform architecture that enables data management to move data to where the applications and the users need it, Qumulo gives organizations the freedom to consolidate and leverage data shared across users running on Mac, Windows or Linux.

For example, at Vexcel Imaging, the ability to use the Qumulo file system as part of an HPE-delivered solution, paved the way to move to modern technology with ease.

“Moving to a Qumulo solution gave Vexcel speed and agility, providing lean infrastructure, and offering great potential for expansion. Powerful, hybrid cloud infrastructure with fast data processing enables Vexcel to provide its customers with a reliable digital service for aerial photography.”

Performance to deliver faster results at massive scale

The Qumulo file data platform can store tens of billions of files and feed thousands of users for massive scale of data that is actively used for research, analytics, and creation of new products. With built-in machine learning capabilities to place data in the most appropriate storage class, the same data platform used for high-performance applications can also be leveraged for archive and backup so users always have their data available to produce the most mission-critical and demanding workflows.

The future is about enabling users around the world to share data insights and innovate to solve some of the most complex challenges. Qumulo is here to help.

Learn more

Download a copy of the 2020 Magic Quadrant for Distributed File Systems and Object Storage here.

Contact us if you’d like to set up a meeting or request a demo. And subscribe to our blog for more helpful best practices and resources!

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Gartner Peer Insights reviews constitute the subjective opinions of individual end users based on their own experiences and do not represent the views of Gartner or its affiliates.

Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, express or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

Gartner Magic Quadrant for Distributed File Systems and Object Storage, Julia Palmer, Jerry Rozeman, Robert Preston, Chandra Mukhyala, Jeff Vogel,15th October 2020.